Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

Llama 4 Scout vs Grok 3 mini

Meta vs xAI · Prices checked 12 August 2026

Llama 4 Scout is the cheaper of the two by a wide margin: $0.175 per million tokens blended against $0.360, roughly 2.1× less. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.035 on Grok 3 mini.

Across the 5 benchmarks both models report, they split the results evenly; neither has a clear capability edge on the public numbers. Llama 4 Scout takes a 512,000-token context window against 131,000, giving 3.9× more room for long documents or whole-codebase work.

Pricing and capacity

Published token pricing and context window for Llama 4 Scout and Grok 3 mini
MetricLlama 4 ScoutGrok 3 miniDifference
Input / 1M tokens$0.100$0.3003.0×
Output / 1M tokens$0.350$0.50030%
Blended · 70/30calculated$0.175$0.3602.1×
Blended · 50/50calculated$0.225$0.40044%
Blended · 80/20calculated$0.150$0.3402.3×
Blended · 20/80calculated$0.300$0.46035%
Job cost · 100K + 10Kcalculated$0.014$0.0352.6×
Job cost · 1M + 100Kcalculated$0.135$0.3502.6×
Context window512,000131,0003.9×

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Benchmarks

Benchmark scores both Llama 4 Scout and Grok 3 mini report
BenchmarkLlama 4 ScoutGrok 3 miniLeader
MMLU80%79%Llama 4 Scout
GPQA Diamond57%64%Grok 3 mini
MATH78%81%Grok 3 mini
HumanEval82%78%Llama 4 Scout
LMArena Elo1265 Elo1265 EloLevel

Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.

What each model is for

Llama 4 Scout

Meta · Efficient

Long-context Llama 4 with a 512K window, the open-weights answer to long-document workloads.

  • 512K context
  • Open weights
  • MoE efficiency

Grok 3 mini

xAI · Efficient

Cheap Grok 3 sibling. Same X firehose access, smaller model behind it, good for cost-sensitive social-media tooling.

  • Cheap
  • Real-time X data
  • Lower latency than full Grok 3

Frequently asked questions

Which is cheaper, Llama 4 Scout or Grok 3 mini?

Llama 4 Scout is the cheaper of the two by a wide margin: $0.175 per million tokens blended against $0.360, roughly 2.1× less. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.035 on Grok 3 mini. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which performs better, Llama 4 Scout or Grok 3 mini?

Across the 5 benchmarks both models report, they split the results evenly; neither has a clear capability edge on the public numbers. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.

Which has the larger context window, Llama 4 Scout or Grok 3 mini?

Llama 4 Scout takes a 512,000-token context window against 131,000, giving 3.9× more room for long documents or whole-codebase work. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare Llama 4 Scout and Grok 3 mini on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.